# Understanding the Progression of Chronic Kidney Disease in Cats: From Pathophysiology to Emerging Biomarkers

**Authors:** Sofia Rosa, Ana C. Silvestre-Ferreira, Rui Martins, Felisbina Pereira Queiroga

PMC · DOI: 10.3390/vetsci13020199 · Veterinary Sciences · 2026-02-19

## TL;DR

This paper reviews how chronic kidney disease in cats progresses and explores new biomarkers that can detect the disease earlier, allowing for better treatment and improved cat health.

## Contribution

The paper introduces emerging biomarkers for early detection of feline chronic kidney disease, enabling proactive veterinary management.

## Key findings

- Symmetric dimethylarginine and fibroblast growth factor-23 detect early metabolic and filtration changes in cats.
- Urinary biomarkers like cystatin B and retinol-binding protein indicate tubular injury in chronic kidney disease.
- A multi-parametric diagnostic approach using novel biomarkers improves early detection and monitoring of the disease.

## Abstract

Chronic kidney disease is one of the most common medical conditions in older cats, leading to a gradual and permanent loss of kidney function. Unfortunately, by the time a cat shows signs of illness or traditional blood tests detect a problem, a large portion of the kidneys may already be damaged. This review focuses on the mechanisms underlying disease progression and critically examines emerging biomarkers with the potential to detect renal dysfunction at earlier stages than currently available methods. By reviewing the latest scientific research, we highlight how these tools can help veterinarians detect the disease in its silent stages. Earlier identification allows not only earlier intervention but also more accurate monitoring of disease progression. This shift enables veterinarians to move from a reactive approach toward proactive management strategies, which may significantly extend survival time and improve the quality of life of aging feline patients.

Feline chronic kidney disease is a leading cause of mortality in geriatric cats, characterized by a progressive and irreversible loss of renal function. Despite its high prevalence, early diagnosis remains challenging due to nephron compensatory mechanisms and the limited sensitivity of traditional biomarkers, creating a diagnostic gap that necessitates the exploration of novel biomarkers for earlier detection. This review examines the complex pathophysiology of the disease, including renin–angiotensin–aldosterone system activation, tubulointerstitial fibrosis, and mineral metabolism disturbances. By analyzing recent scientific literature, this work evaluates current diagnostic landscape and clinical relevance of emerging biomarkers. Evidence indicates that symmetric dimethylarginine and fibroblast growth factor-23 improve detection of early metabolic and filtration changes, while urinary biomarkers like cystatin B and retinol-binding protein provide specific insights into tubular injury. Bridging the diagnostic gap requires a transition from a reactive, azotemia-based framework to a multi-parametric diagnostic approach that integrates novel biomarkers with serial clinical and laboratory monitoring. Although financial constraints and limited availability restrict widespread clinical implementation, incorporating these advances is essential for earlier prognostic stratification and timely therapeutic decision-making. This integrated strategy has the potential to slow disease progression and improve survival and quality of life in cats with chronic kidney disease.

## Linked entities

- **Proteins:** CYSTATIN-B (cystatin-B)
- **Chemicals:** symmetric dimethylarginine (PubChem CID 169148)
- **Diseases:** chronic kidney disease (MONDO:0005300)

## Full-text entities

- **Genes:** EPO [NCBI Gene 493801], ET-1 [NCBI Gene 494214], PTH [NCBI Gene 493684], Cystatin B [NCBI Gene 102900380], Renin [NCBI Gene 101081695], FGF-23 [NCBI Gene 101100063], transferrin [NCBI Gene 101085148], Cystatin C [NCBI Gene 100462660], transglutaminase-2 [NCBI Gene 101098215], Klotho [NCBI Gene 101082617], PKD1 [NCBI Gene 100144606], angiotensinogen [NCBI Gene 101093714], TGF-beta [NCBI Gene 768263], albumin [NCBI Gene 448843]
- **Diseases:** hypertrophy (MESH:D006984), dental disease (MESH:D009057), emaciation (MESH:D004614), Uremic Syndrome (MESH:D006463), interstitial (MESH:D065167), cardiovascular disease (MESH:D002318), CKD-MBD (MESH:D012080), infection (MESH:D007239), acid-base (MESH:D000137), phosphaturia (MESH:D007015), acidosis (MESH:D000138), dehydrated (MESH:D003681), hypercalcemia (MESH:D006934), polydipsia (MESH:D059606), heartworm disease (MESH:D004184), weight loss (MESH:D015431), Urinary Tract Infection (MESH:D014552), lethargy (MESH:D053609), cytotoxic (MESH:D064420), urethral obstruction (MESH:D014524), hypocalcemia (MESH:D006996), vascular calcification (MESH:D061205), Anemia (MESH:D000740), glomerulosclerosis (MESH:D005921), viral infections (MESH:D014777), melena (MESH:D008551), Arterial hypertension (MESH:D000081029), glomerular hypertension (MESH:D006973), left ventricular hypertrophy (MESH:D017379), EPO deficiency (MESH:D007153), malnutrition (MESH:D044342), death (MESH:D003643), parathyroid gland hyperplasia (MESH:D006965), polycystic kidney disease (MESH:D007690), PD (MESH:D010510), hyperphosphatemia (MESH:D054559), necrosis (MESH:D009336), urinary tract inflammation (MESH:D014570), urinary incontinence (MESH:D014549), cardiovascular calcification abnormalities (MESH:D018376), Infectious (MESH:D003141), gastrointestinal bleeding (MESH:D006471), tissue damage (MESH:D017695), glomerular injury (MESH:D007674), Chronic pain (MESH:D059350), juvenile renal dysplasia (MESH:C537580), amyloidosis (MESH:D000686), tubular degeneration (MESH:D009410), Bacterial infections (MESH:D001424), bartonellosis (MESH:D001474), lymphoma (MESH:D008223), IRIS (MESH:C000719191), primary hyperaldosteronism (MESH:D006929), systemic (MESH:D015619), High (MESH:D008228), parasitic diseases (MESH:D010272), Heart disease (MESH:D006331), hypokalemia (MESH:D007008), hypertrophic cardiomyopathy (MESH:D002312), ischemic (MESH:D002545)
- **Chemicals:** Urea (MESH:D014508), bicarbonate (MESH:D001639), GSSG (MESH:D019803), calcidiol (MESH:D002112), hydrogen peroxide (MESH:D006861), MA (-), superoxide anions (MESH:D013481), Indoxyl sulfate (MESH:D007200), sodium (MESH:D012964), SSA (MESH:C003366), potassium (MESH:D011188), calcitriol (MESH:D002117), ROS (MESH:D017382), DHA (MESH:C027493), Calcium (MESH:D002118), Creatinine (MESH:D003404), CO2 (MESH:D002245), GSH (MESH:D005978), meloxicam (MESH:D000077239), Urea Nitrogen (MESH:C530477), lipid (MESH:D008055), Iohexol (MESH:D007472), p-cresyl sulfate (MESH:C408690), SDMA (MESH:C024917), aldosterone (MESH:D000450), NaCl (MESH:D012965), oxygen (MESH:D010100), Phosphorus (MESH:D010758), phosphate (MESH:D010710), TMAO (MESH:C005855), NO (MESH:D009569), water (MESH:D014867), thromboxane A2 (MESH:D013928), non-esterified fatty acids (MESH:D005230), iron (MESH:D007501)
- **Species:** Felis catus (cat, species) [taxon 9685], Homo sapiens (human, species) [taxon 9606], Feline morbillivirus (no rank) [taxon 1170234], Feline leukemia virus (no rank) [taxon 11768], Feline immunodeficiency virus (no rank) [taxon 11673], Canis lupus familiaris (dog, subspecies) [taxon 9615], Human spumaretrovirus (no rank) [taxon 11963], Feline infectious peritonitis virus (no rank) [taxon 11135]

## Full text

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## Figures

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## References

84 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945120/full.md

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Source: https://tomesphere.com/paper/PMC12945120